ecs.hfc7.8xlarge by Alibaba Cloud

ecs.hfc7.8xlarge is a ecs.hfc7 family (32 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.2565 USD per hour.
32 vCPU
64 GiB Memory
Spare SCore
33,337
(All-cores)
1,580
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfc7.8xlarge
Description
ecs.hfc7 family (32 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.hfc7
Hw Virt
Status
active
Observed At
2026-10-30T15:57:48.514116

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 1.0525 USD/h
Heyuan (CN) / cn-heyuan
0.2565 USD/h 1.166 USD/h
Beijing (CN) / cn-beijing
- 1.166 USD/h
Chengdu (CN) / cn-chengdu
- 1.166 USD/h
Guangzhou (CN) / cn-guangzhou
- 1.166 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.166 USD/h
Shanghai (CN) / cn-shanghai
- 1.166 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.166 USD/h
Singapore (SG) / ap-southeast-1
- 1.68 USD/h
Tokyo (JP) / ap-northeast-1
0.4435 USD/h 1.848 USD/h
Hong Kong (HK) / cn-hongkong
- 1.8648 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
3.3 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369HB
CPU L1D Cache
32 KiB
CPU L1D Cache Total
512 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
16 MiB
CPU L3 Cache
33 MiB
CPU L3 Cache Total
33 MiB
CPU Flags
fpu, vme, de, pse, tsc, msr, pae, mce, cx8, apic, sep, mtrr, pge, mca, cmov, pat, pse36, clflush, mmx, fxsr, sse, sse2, ss, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, nonstop_tsc, cpuid, tsc_known_freq, pni, pclmulqdq, monitor, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, avx512_bf16, arat, avx512_vnni
Ecpus
21.1
Scalability
65.94

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
64 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      10 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated compute-optimized virtual server featuring high-frequency processors and balanced memory bandwidth for sustained multi-threaded workloads.

      Compute Optimized

      Alibaba Cloud ecs.hfc7.8xlarge is a compute-optimized instance featuring 32 dedicated vCPUs and 64.0 GB of RAM, powered by an Intel Xeon 8369HB processor running at 3.3 GHz. Built on the KVM hypervisor with an x86_64 architecture, this instance offers a 1:2 vCPU-to-RAM ratio, making it highly suitable for compute-heavy workloads. It lacks local storage and GPU accelerators, relying on a 10 Gbps baseline network bandwidth. Performance benchmarks show a PassMark CPU score of 31763.08, a Redis SET throughput of 31.19 million operations per second, and a static web serving throughput of 23.9 GB/sec. The instance is qualitatively cost-efficient for sustained processing tasks, though the absence of local storage requires network-attached alternatives. It is best suited for software compilation, web serving, and multi-threaded data processing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.5Score
      Precomputed compound score for Cache Intensive workloads. A weighted average (geometric mean) of benchmark scores compared to their medians: score = ∏ (x_i / m_i)^(w_i / Σw). The score of 1.0 represents a synthetic baseline server with the median performance of each component benchmark; 0.5 means roughly half the performance; and 2.0 means twice the performance of that reference profile. Component weights: 50% Redis RPS (pipeline=1, SET), 20% Redis RPS (pipeline=16, SET), 10% PassMark Memory Mark (composite), 10% Memory bandwidth (read, 16 MB ~ L3), 10% PassMark single-thread CPU. Rationale for component selection: In-memory key-value store workload, mixing direct Redis performance metrics with memory speed and latency benchmarks, and single-core CPU performance profiles.
      Component Score Weight Impact
      Raw Reference Normalized Target Actual
      Redis RPS (pipeline=1, SET) 3,658,380 ops/sec 1,919,289 ops/sec 1.9 50.00% 50.00% +38.00%
      Redis RPS (pipeline=16, SET) 18,955,030 ops/sec 11,728,058 ops/sec 1.6 20.00% 20.00% +9.90%
      PassMark Memory Mark (composite) 2,736 2,416 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 121,542 MB/sec 108,466 MB/sec 1.1 10.00% 10.00% +0.96%
      PassMark single-thread CPU 2,347 Mops/s 2,365 Mops/s 0.96 10.00% 10.00% -0.41%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,352

      Geekbench Multi-Core

      Score: 11,856

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      31,763
      Compression
      511,136
      Encryption
      15,437
      Extended Instructions
      29,712
      Floating Point Maths
      59,975
      Integer Maths
      111,788
      Physics
      2,505
      Prime Numbers
      141
      Single Threaded
      2,347
      String Sorting
      66,045

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,736
      Database Operations
      12,270
      Memory Latency
      49
      Memory Read Cached
      26,278
      Memory Read Uncached
      10,668
      Memory Write
      9,819

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      260.02 239.69 0.92×
      bitops
      141,884 2,515,618 17.73×
      branch
      172,932 4,207,976 24.33×
      funccall
      636.52 10,708 16.82×
      funcret
      12,847 300,023 23.35×
      hash
      147,351 3,475,971 23.59×
      intmath
      25,320 618,507 24.43×
      nop
      214,628 2,977,172 13.87×
      prime
      361,565 6,461,163 17.87×
      rotate
      108,448 2,185,842 20.16×
      str
      862,210 18,519,103 21.48×
      wcs
      598,808 10,181,337 17.00×
      CryptographySingleMultiScaling
      crypt
      2,735 42,756 15.63×
      CompressionSingleMultiScaling
      jpeg
      675.62 13,009 19.25×
      zlib
      41.72 1,518 36.39×
      HypervisorSingleMultiScaling
      clock
      21,198 334,138 15.76×
      clone
      446.55 6,773 15.17×
      context
      3,134 88,099 28.11×
      cpu-sched
      63.3 2,052 32.41×
      eventfd
      100,573 1,128,845 11.22×
      fault
      15,709 228,662 14.56×
      fork
      4,545 74,691 16.44×
      getrandom
      51,455 1,029,341 20.00×
      hrtimers
      136,449 2,623,155 19.22×
      mprotect
      1,146,243 7,469,754 6.52×
      mtx
      10,633,436 1,035,985,805 97.43×
      munmap
      3,259 56,290 17.27×
      null
      369,440 9,829,996 26.61×
      pipe
      862,238 9,464,786 10.98×
      priv-instr
      593,023 14,048,071 23.69×
      resched
      5,868,128 3,929,519 0.67×
      switch
      254,087 5,056,408 19.90×
      timermix
      351,262 10,146,242 28.89×
      tlb-shootdown
      10,711 59,747 5.58×
      tsc
      1,118,037 25,123,905 22.47×
      usersyscall
      453,344 10,846,783 23.93×
      vdso
      91,053,482 2,578,886,602 28.32×
      vfork
      31,554 159,309 5.05×
      x86syscall
      4,219,751 115,301,583 27.32×
      yield
      21,243,523 24,989,197 1.18×
      zero
      2,358,257 53,632,774 22.74×
      CPU float/SIMDSingleMultiScaling
      eigen
      18,268 346,492 18.97×
      expmath
      3,012 74,158 24.62×
      fma
      586,053 16,345,552 27.89×
      fp
      186.22 4,452 23.91×
      fractal
      5.8 138.62 23.90×
      hyperbolic
      3,130 79,048 25.25×
      logmath
      5,125 123,688 24.14×
      matrix
      3,272 81,012 24.76×
      matrix-3d
      627.34 3,721 5.93×
      monte-carlo
      171.45 4,429 25.83×
      mpfr
      1,373 23,824 17.36×
      powmath
      1,781 43,659 24.51×
      trig
      1,927 41,391 21.48×
      veccmp
      18,421 288,349 15.65×
      vecfp
      2,155 42,669 19.80×
      vecmath
      2,345 59,985 25.58×
      vecshuf
      914.71 16,217 17.73×
      vecwide
      55,205 1,042,670 18.89×
      AlgorithmsSingleMultiScaling
      bitonicsort
      8 151.8 18.98×
      bsearch
      278.85 5,180 18.58×
      bubblesort
      0.8 12.8 16.00×
      fibsearch
      315.11 6,445 20.45×
      heapsort
      9.4 189 20.11×
      hsearch
      5,762 110,094 19.11×
      insertionsort
      9.2 146.8 15.96×
      malloc
      2,352,394 36,946,221 15.71×
      mcontend
      117.47 7,731 65.81×
      mergesort
      30 612.58 20.42×
      qsort
      21.2 416.59 19.65×
      skiplist
      5,885 134,381 22.84×
      tree
      1.6 19.18 11.99×
      MemorySingleMultiScaling
      cache
      383,112 587,304 1.53×
      cachehammer
      410,290 10,441,640 25.45×
      cacheline
      29.57 2,483 83.98×
      l1cache
      254.78 4,382 17.20×
      memcpy
      428.83 6,920 16.14×
      memrate
      1.18 12.04 10.20×
      memthrash
      240.45 883.3 3.67×
      ptr-chase
      32,158,868 321,991,851 10.01×
      spinmem
      434.79 3,103 7.14×
      stream
      33.14 10,268 309.84×
      vm
      58,936 298,008 5.06×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      LLM Inference Speed for Prompt Processing

      LLM Inference Speed for Text Generation

      Static Web Server

      Redis

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      ecs.hfc7.8xlarge FAQs